Navigating a Successful Shift to Value-Based Care
Whitepaper
By working with Tegria to implement Epic SlicerDicer, you’re empowering your clinical and revenue cycle users with easy-to-use, accurate, and accessible reporting capabilities providing deep insight into your system. SlicerDicer is an Epic-created tool designed to provide end-users with on-demand analytic capabilities. Tegria has significant SlicerDicer implementation experience from multiple, certified consultants ready to guide you and your staff through installation, configuration, and post-live support.
SlicerDicer
Our team of healthcare and Caboodle platform analysts will ensure you get an implementation aimed at your data needs without compromise.
Rooted in EHR Knowledge
Growing up in the EHR world, we understand the intricacies of your data and know how to extract what’s needed, while preserving patient privacy.
Integrated Team
Our team of implementation, data, and training analysts will help you get the right individuals at the right time supporting your SlicerDicer data model implementations.
Deep Epic and SlicerDicer Understanding
With experience at multiple Epic implementations, you’ll be partnered with experts who understand the demands and specifications required for building powerful yet easy-to-use SlicerDicer data models.
A Southern academic health system
Tegria partnered with a large Southern academic health system to implement Epic SlicerDicer for clinical and revenue cycle data models with the desired outcome of reducing the creation of service tickets for custom reports. We collaborated closely with the analytics team to determine the scope of Caboodle build, required data models, needed use case scenarios, and training requirements across multiple hospitals and service lines. Since the organization was only live on Hospital Billing, we also worked closely with IT and operational leadership to determine what future-state Professional Billing data analysis would be needed post-live in early 2022. Tegria analysts worked with IT resources to activate, test, and migrate data models as well as constructed custom data filters. After migration, Tegria training analysts hosted multiple, virtual instructor-led training sessions.
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